SNAP-II predicts severe intraventricular hemorrhage and chronic lung disease in the neonatal intensive care unit

Li Yin Chien, Robin Whyte, Paul Thiessen, Robin Walker, David Brabyn, Shoo K. Lee

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

Objective: To determine whether the Score for Neonatal Acute Physiology, Version II (SNAP-II), improved prediction of severe (≥grade III) intraventricular hemorrhage (IVH) and chronic lung disease (CLD) when compared to models using gestational age (GA) and traditional risk factors (e.g., Apgar score, small-for-gestational-age, sex, outborn status). Study Design: We examined 4226 infants ≤32 weeks' GA admitted to 17 Canadian neonatal intensive care units between 1996 and 1997. We compared prediction models for severe IVH and CLD, with and without SNAP-II. Results: SNAP-II was a significant and independent predictor of severe IVH and CLD. Addition of SNAP-II to models using GA and traditional risk variables significantly (p<0.05) improved model prediction (AUC 0.8 for severe IVH; 0.83 for CLD). Models were well calibrated (p>0.05 for Hosmer-Lemeshow goodness of fit test). Conclusion: Addition of SNAP-II to models using GA and traditional risk factors significantly improves prediction of severe IVH and CLD.

Original languageEnglish
Pages (from-to)26-30
Number of pages5
JournalJournal of Perinatology
Volume22
Issue number1
DOIs
StatePublished - 2002

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